Sme + Lt Ai Software Engineering

Ironhack is a Global Tech School ranked top 2 worldwide. Our mission is to help people transform their careers and join a thriving community of tech professionals that love what they do.
We do this through Intensive courses & bootcamps in Web Development, UX / UI Design, Data Analytics & Cybersecurity, as well as Career Services aimed at helping our students to be prepared to look for a job after the course.
About Ironhack
Our mission is to be the most outcome-driven institution in the world! We're a global marketplace for tech talent, where we offer tech bootcamps and partner with companies to impact the lives of our students in a meaningful way.
We empower students to create a new career path in tech, get that next promotion, or start their own company.
Why join Ironhack?
Our culture is characterized by collaboration, which is the way we roll. We like to take on challenges with a smile on our face! We work in flat hierarchies with open communication.
Join Ironhack and we guarantee a bootcamp-paced learning experience in a high-growth environment, where we can change the future of education together!
About the gig
We are looking for an expert in Full-Stack Web Development (MERN stack, Java, and SQL) and AI / ML to collaborate closely with our Education team on a comprehensive 1-year AI Software Engineering Program.
As a Subject Matter Expert (SME) and / or Lead Instructor, you will be responsible for developing and delivering content that covers the latest strategies, tools, and techniques in frontend and backend development, AI integration, and modern DevOps practices.
You will guide the creation of a curriculum that covers a broad spectrum of technologies, including JavaScript frameworks (React, Node.js, Express), Java & SQL for backend development, and machine learning tools like TensorFlow and PyTorch. The program also incorporates key DevOps principles and project management tools to ensure students understand the software development lifecycle holistically.
Your role will be to ensure that the course is both academically rigorous and practically relevant, equipping students with hands-on experience in building AI-powered web applications, integrating AI models into production environments, and mastering essential tools for software engineering.
By the end of the program, students will be prepared for real-world challenges in both software engineering and AI.
Responsibilities
As a Subject Matter Expert, you will be responsible for delivering the following (non-exhaustive):
Participate in discussions with external stakeholders involved in the bootcamp to understand their needs and define the scope.
Create a detailed syllabus for the bootcamp, including learning outcomes, modules to be taught, and assessment methods.
Develop course materials for self-paced prework, as well as teacher-led and self-paced bootcamp content, including lessons, exercises, labs, and projects.
Design and create hands-on projects aligned with learning goals, such as building web applications, AI-powered tools, and full-stack solutions.
Create tailored project briefs and evaluation rubrics that reflect the objectives of the bootcamp and industry best practices.
If you're also interested in teaching the course, your responsibilities would include:
Prepare balanced lesson plans that meet the needs of the class, adjusting to ensure student success and addressing learning challenges.
Alternate between teaching in a classroom environment and facilitating pair or group work, providing clear guidance and support.
Oversee the entire academic experience of the bootcamp, ensuring students are engaged, challenged, and supported.
Manage Teaching Assistants to support student success and facilitate a collaborative, dynamic learning environment.
Foster a positive and inclusive classroom culture that caters to diverse learning styles and backgrounds.
Encourage students to think strategically as they develop real-world projects and apply critical skills in web development and AI integration.
Collaborate with Program Managers, Project Managers, and other stakeholders to ensure students achieve their professional goals.
Administer assessments and provide students with timely, constructive feedback on their progress.
Must haves
Experience:
At least 5 years of hands-on experience in Full-Stack Web Development (MERN, Java, and SQL) and AI / ML integration, with a strong focus on both technical and educational expertise.
Proven experience in both backend (Java, SQL, Spring Boot) and frontend development, including the integration of AI models into production-level web applications.
Experience in DevOps practices, CI / CD pipelines, and containerization technologies (e.g., Docker, Terraform) is a strong plus.
Technical Proficiency:
Expertise in the MERN stack (MongoDB, Express, React, Node.js) as well as Java and SQL for backend development.
In-depth knowledge of AI / ML tools and frameworks, such as TensorFlow, PyTorch, and OpenAI API, with experience building and integrating machine learning models into web applications.
Strong understanding of Agile methodologies, project management (JIRA, Trello), and experience in software testing (JUnit, Selenium, Mockito) and quality assurance.
Proficiency in DevOps tools and infrastructure as code (IaC) technologies (Jenkins, Docker, Ansible, Terraform) is highly valued.
Licenses (not mandatory but a plus):
Any certifications in web development, AI / ML technologies or DevOps.
Certifications in project management (PMP, Scrum Master) or Agile methodologies would be a plus.
Educational Background: a degree in Computer Science, Software Engineering or similar is preferred.
Content Creation Experience: experience in creating content and materials for teaching or training purposes is highly valued.
Teaching or training experience in a professional or academic setting is mandatory if you are interested in the teaching role.
Communication Skills: excellent written and verbal communication skills, with the ability to convey complex concepts in an easy-to-understand manner.
Language: fluent in English.
Our recruitment process
HR Screening: initial evaluation of experience, qualifications, and role alignment.
Hiring Manager Interview: in-depth assessment of technical skills and job-specific expertise.
Case Study / Mock Session: practical test of problem-solving abilities and relevant knowledge.
Culture Fit Interview: evaluation of alignment with company values and team dynamics.

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